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DBMS > Alibaba Cloud TSDB vs. InfluxDB vs. Vertica

System Properties Comparison Alibaba Cloud TSDB vs. InfluxDB vs. Vertica

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Editorial information provided by DB-Engines
NameAlibaba Cloud TSDB  Xexclude from comparisonInfluxDB  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionA stable, reliable, and cost-effective online high-performance time series database serviceDBMS for storing time series, events and metricsColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelTime Series DBMSTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS infowith GEO packageDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.32
Rank#268  Overall
#19  Time Series DBMS
Score28.54
Rank#29  Overall
#1  Time Series DBMS
Score20.33
Rank#35  Overall
#21  Relational DBMS
Websitewww.alibabacloud.com/­product/­hitsdbwww.influxdata.com/­products/­influxdb-overviewwww.vertica.com
Technical documentationwww.alibabacloud.com/­help/­doc-detail/­55652.htmdocs.influxdata.com/­influxdbwww.vertica.com/­docs/­10.0.x/­HTML/­Content/­Home.htm
DeveloperAlibabaVertica / Micro Focus infoprior to that Hewlett Packard
Initial release20132005
Current release2.0.8, August 2021Vertica 10.0 Software, May 2020
Vertica for SQL on Hadoop 10.0 Software, May 2020
License infoCommercial or Open SourcecommercialOpen Source infoMIT-License; commercial enterprise version availablecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud serviceyesnono infoAvailable on all major clouds - Amazon AWS, Microsoft Azure and Google Cloud Platform
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGo
Server operating systemshostedLinux
OS X infothrough Homebrew
Linux
Data schemeschema-freeschema-freeyes infoUnstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or dateNumeric data and StringsNumeric data and Stringsyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonoyes
Secondary indexesnonono infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLnoSQL-like query languageyes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsHTTP RESTHTTP API
JSON over UDP
ADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languagesJava.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresnonoyes
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlySharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlyMulti-source replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoDepending on used storage engine
User concepts infoAccess controlAccess managed on TSDB instance levelsimple rights management via user accountsfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
Alibaba Cloud TSDBInfluxDBVertica infoVertica Analytics Platform
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Columnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability,...
» more
Competitive advantagesTime to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
Performance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in...
» more
Typical application scenariosIoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersInfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more
Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Market metricsFastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
Cost-based models and subscription-based models are available
» more
News

Introduction to Time Series Forecasting with Tensorflow and InfluxDB
24 November 2021

Getting Started with Go and InfluxDB
19 November 2021

Notebook Sharing
18 November 2021

Release Announcement: Telegraf 1.20.4
18 November 2021

Monitoring Your Smart Home with InfluxDB and IFTTT
17 November 2021

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

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More resources
Alibaba Cloud TSDBInfluxDBVertica infoVertica Analytics Platform
DB-Engines blog posts

Why Build a Time Series Data Platform?
20 July 2017, Paul Dix (guest author)

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1 June 2015, Paul Andlinger

show all

Recent citations in the news

InfluxDB users detail time series database use cases
29 October 2021, TechTarget

InfluxData Brings Time Series Expertise to AWS re:Invent 2021
17 November 2021, Business Wire

6 Engineering Leaders Reflect On Their Teams' Biggest Achievements This Year
22 November 2021, Built In

InfluxData releases InfluxDB Notebooks to enhance collaboration for teams working with time series data
14 April 2021, Business Wire

InfluxData Closes 2020 with Exponential Cloud Growth, Expanding User Base, and Big New Customers
14 January 2021, Yahoo Finance

provided by Google News

Vertica to Leverage NetApp StorageGRID to Deliver Cloud-Scale Analytics to On-Premises Environments
10 November 2021, PRNewswire

Vertica Announces Vertica 11, Delivering on Vision of Unified Analytics
20 July 2021, PRNewswire

Vertica Accelerator is Now Available on AWS
28 September 2021, Database Trends and Applications

EDB unleashes BigAnimal in the cloud
2 November 2021, ZDNet

Vertica Announces Early Access of Vertica Eon Accelerator and Acquisition of Full360
16 June 2021, Database Trends and Applications

provided by Google News

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